AF alibabacloud-kafka-capacity-assessment
Performs capacity assessment on Alibaba Cloud Kafka instances to determine whether throttling is occurring and recommends instance upgrades when capacity is running high. Triggers when users describe issues such as consumer lag buildup, producer send failures, throughput throttling, or connection anomalies on a Kafka instance. Trigger phrases: "kafka capacity assessment", "kafka throttling", "kafka consumer lag", "kafka performance bottleneck", "kafka throughput insufficient", "kafka connection limit", "kafka disk full", "kafka anomaly". Do NOT use for: Kafka instance creation, Topic/partition management and configuration, message send/receive code debugging, or fault diagnosis unrelated to capacity.
Performs capacity assessment on Alibaba Cloud Kafka instances to determine whether throttling is occurring and recommends instance upgrades when capacity is…
As a process F 56/100 · Will not run — References files that are not bundled: references/kafka-v2-spec-and-capacity.md, references/kafka-v3-spec-and-capacity.md, references/acceptance-criteria.md
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/kafka-v2-spec-and-capacity.md - warning
missing-refreference to a missing file: references/kafka-v3-spec-and-capacity.md - warning
missing-refreference to a missing file: references/acceptance-criteria.md - warning
missing-refreference to a missing file: references/how-to-implement-by-common-sdk.md
Process rating: all ten parameters 56/100
- 0Tools and files. 4 referenced file(s) missing: references/kafka-v2-spec-and-capacity.md, references/kafka-v3-spec-and-capacity.md, references/acceptance-criteria.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 9 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 70Execution cost. Instruction body is 4052 tokens
- 85Steps. 27 steps, 2 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 11 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 709: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.